Data Lake Implementation
We design and implement scalable data lakes that transform your unstructured enterprise data into organized, powerful insights.
We build high-performance Data Lake solutions that centralize and manage your diverse data assets. Whether on cloud, on-premises, or hybrid environments, our data lakes are optimized for flexibility, security, and future-ready analytics. From seamless ingestion to machine learning enablement, we give your data the foundation it needs to drive real value.
Success Stories
We’ve partnered with fast-scaling startups and global enterprises to implement intelligent data lake ecosystems that power deeper insights, faster decisions, and sustainable digital growth.
Amazon Vendor Central Project
Our smart security clients (August Home and Yale Security) are huge vendors on Amazon and needed a way to get useful insights for their traffic, sales, inventory, and sales forecasting data. The reports had to be generated on a daily basis and according to their specific criteria.
Instagram-Facebook API Integration (Freestak.com)
Freestak, a marketplace for endurance influencers, wanted to integrate key insights coming from marketing campaigns with their associated influencers. Freestak required obtaining post data and engagement metrics of posts, stories and reels of Instagram influencers.
Food Ordering Scraper (Loop)
Our client needed merchant-side data of orders coming to restaurants through 3 major ordering companies (DoorDash, Uber Eats, and Grubhub). We were required to implement a smart algorithm to retrieve such a huge volume of information and prevent blocking, duplication, and other problems.
High Growth Startup Finder (Redpoint Ventures)
As a Venture Capitalist, our client found it very tiring and expensive to find startup leads that they can investigate further for potential funding rounds. We were required to come up with a smart algorithm to find startups which can possibly be the next best investment for our client.
Automated Newsletter Emails
We fetched the users’ data from an API and checked all the subscriptions of every user to create a filtered list. Once we had the list, we created a templated transactional email which was then used to send relevant newsletters to all the subscribers.
Industries We Have Served
We’ve deployed data lakes across industries—tailored to meet specific compliance, performance, and business intelligence needs. Our solutions are built to support innovation while ensuring scalability and security.
Healthcare Innovation
Integrate patient data, diagnostics, and research outputs in one centralized repository to enable better care coordination, AI-driven insights, and faster clinical trials.
Financial Data Management
Aggregate transactional, compliance, and risk-related data into a governed data lake that enables real-time fraud detection and streamlined regulatory reporting.
Retail Analytics
Unify clickstream data, POS transactions, and customer feedback to personalize experiences, forecast demand, and optimize merchandising in real-time.
Smart Manufacturing
Capture and analyze IoT sensor data, quality metrics, and production logs to drive predictive maintenance, reduce downtime, and improve throughput.
Supply Chain Intelligence
Consolidate logistics, inventory, and delivery data across vendors and systems to increase visibility, improve forecasting, and reduce operational risks.
Development Process
Our structured delivery model ensures your data lake is robust, scalable, and built for long-term success, from first assessment to live optimization.
Technologies We Use for Data Solutions
Programming Languages
Node Js
Python
JavaScript
Data Orchestration
Apache Airflow
Azure Data Factory
Databricks
Dagster
RESTful Services
Postman
Rest
SOAP
Requests
Databases
MySQL
SQL Server
PostgreSQL
MongoDB
DynamoDB
SQLite
Redis
Firebase
Data Warehouses
Snowflake
BigQuery
Redshift
Data Visualization
PowerBI
Tableau
Looker Studio
Cloud Platforms
AWS
Azure
GCP
Heroku
Data Transformation
AWS Glue
Talend
Apache Kafka
DBT
Security
OAuth
SSL/TLS
Containerization
Docker
Kubernetes
Programming Language
Node Js
Python
JavaScript
Databases
MySQL
SQL Server
PostgreSQL
MongoDB
Data Warehouses
Snowflake
BigQuery
Redshift
Data Orchestration
Apache Airflow
Azure Data Factory
Databricks
Dagster
Data Transformation
AWS Glue
Talend
Apache Kafka
DBT
Data Visualization
PowerBI
Tableau
Looker Studio
Cloud Platforms
AWS
Azure
GCP
Heroku
Containerization
Docker
Kubernetes
RESTful Services
Postman
Rest
SOAP
Requests
Security
OAuth
SSL/TLS
Our Clients
From D2C brands and logistics providers to fintech startups and AI-focused SaaS companies, we empower businesses worldwide to build resilient data infrastructures and unlock next-level insights.
Our Clients
From eCommerce brands and logistics providers to fintech startups and data-first SaaS platforms, we help companies around the world make smarter, faster, and more informed decisions through reliable data infrastructure.